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People & AI in Insurance: Technological Excellence and Empathy as the Key to Differentiation

MGT001533Specialization in Management3 ECTSEnglishwinter semesterLehrstuhl für Strategie und Organisation (Prof. Welpe)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn how artificial intelligence creates value in the insurance sector — for customers, employees and investors — and how leadership and culture are influenced in the process. In the course you will develop concrete AI ideas for insurers in teams and present them in a graded pitch. In the end you can analyze, evaluate and design AI-driven differentiation strategies for the insurance industry.

What you will be able to do

  • Understand and analyze insurance business and the tasks of a modern People & Culture function
  • Assess and shape the combination of AI, technological excellence and empathy to create value

What the module consists of

  • LectureIntroduction to concepts and practical examples
  • On-site Visit (Allianz SE, Schwabing)Insight into corporate practice on site
  • Group workDevelopment of ideas and business plans
  • Individual workPreparation and deepening
  • Pitch session (graded)Final presentation of the team work

Teaching method

  • PresentationsConveying content and results
  • Group workCollaborative development of practical solutions
  • Individual workIndependent engagement with topics

Dates

SeminarPeople & AI in Insurance: Technological Excellence and Empathy as the Key to Differentiation (MGT001533, englisch) (Limited places)4 groups to choose from

  • AThu08:30–10:00Externer Ort (siehe Anmerkung)once on 03.12.
  • BThu13:00–18:00Externer Ort (siehe Anmerkung)once on 03.12.
  • CThu14:00–18:00Z538, Seminarraum (0505.Z1.538Z)once on 04.02.
  • DFri12:00–14:002550, Büro (0505.02.550)once on 13.11.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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Official page in TUMonline · Details are not binding.